ξ Teaching Research & Topics Software People Department of Software Engineering

Publication entry:

SM-RS 2.0: User-perceived Qualities of Single-and Multi-Objective Recommender Systems

Full citation
Dokoupil, P., & Peska, L. (2026). SM-RS 2.0: User-perceived qualities of single-and multi-objective recommender systems. ACM Transactions on Recommender Systems, 4(3), 1–28.
BibTeX citation file download
dokoupil2026sm.bib

Internal authors

Patrik Dokoupil

Researcher

Ladislav Peška

Associate professor

Research topics

Recommender systems

Software that estimates, models and evaluates user preferences and needs, producing viable recommendations of items such as multimedia or goods that would match user interests.